/* x=A\b where A can be rectangular; b overwritten with solution */
int cs_qrsol (int order, const cs *A, double *b)
{
double *x ;
css *S ;
csn *N ;
cs *AT = NULL ;
int k, m, n, ok ;
if (!CS_CSC (A) || !b) return (0) ; /* check inputs */
n = A->n ;
m = A->m ;
if (m >= n)
{
S = cs_sqr (order, A, 1) ; /* ordering and symbolic analysis */
N = cs_qr (A, S) ; /* numeric QR factorization */
x = cs_calloc (S ? S->m2 : 1, sizeof (double)) ; /* get workspace */
ok = (S && N && x) ;
if (ok)
{
cs_ipvec (S->pinv, b, x, m) ; /* x(0:m-1) = b(p(0:m-1) */
for (k = 0 ; k < n ; k++) /* apply Householder refl. to x */
{
cs_happly (N->L, k, N->B [k], x) ;
}
cs_usolve (N->U, x) ; /* x = R\x */
cs_ipvec (S->q, x, b, n) ; /* b(q(0:n-1)) = x(0:n-1) */
}
}
else
{
AT = cs_transpose (A, 1) ; /* Ax=b is underdetermined */
S = cs_sqr (order, AT, 1) ; /* ordering and symbolic analysis */
N = cs_qr (AT, S) ; /* numeric QR factorization of A' */
x = cs_calloc (S ? S->m2 : 1, sizeof (double)) ; /* get workspace */
ok = (AT && S && N && x) ;
if (ok)
{
cs_pvec (S->q, b, x, m) ; /* x(q(0:m-1)) = b(0:m-1) */
cs_utsolve (N->U, x) ; /* x = R'\x */
for (k = m-1 ; k >= 0 ; k--) /* apply Householder refl. to x */
{
cs_happly (N->L, k, N->B [k], x) ;
}
cs_pvec (S->pinv, x, b, n) ; /* b(0:n-1) = x(p(0:n-1)) */
}
}
cs_free (x) ;
cs_sfree (S) ;
cs_nfree (N) ;
cs_spfree (AT) ;
return (ok) ;
}
/**
* Apply Householder transformations and the row permutation P to y
*
* @param a sparse matrix containing the vectors defining the
* Householder transformations
* @param beta scaling factors for the Householder transformations
* @param y contents of a V->m by nrhs dense matrix
* @param p 0-based permutation vector of length V->m
* @param nrhs number of right hand sides (i.e. ncol(y))
* @param trans logical value - if TRUE create Q'y[p] otherwise Qy[p]
*/
static
void sparseQR_Qmult(cs *V, double *beta, int *p, int trans,
double *y, int *ydims)
{
int j, k, m = V->m, n = V->n;
double *x = Alloca(m, double); /* workspace */
R_CheckStack();
if (ydims[0] != m)
error(_("Dimensions of system are inconsistent"));
for (j = 0; j < ydims[1]; j++) {
double *yj = y + j * m;
if (trans) {
cs_pvec(p, yj, x, m); /* x(0:m-1) = y(p(0:m-1, j)) */
Memcpy(yj, x, m); /* replace it */
for (k = 0 ; k < n ; k++) /* apply H[1]...H[n] */
cs_happly(V, k, beta[k], yj);
} else {
for (k = n - 1 ; k >= 0 ; k--) /* apply H[n]...H[1] */
cs_happly(V, k, beta[k], yj);
cs_ipvec(p, yj, x, m); /* inverse permutation */
Memcpy(yj, x, m);
}
}
}
/**
* @brief Solves a sparse matrix factorization.
*
* This solves Ax = b.
*
* @param[in,out] b Input right side vector that gets set to the output solution.
* @param[in] fact Factorization of the sparse matrix.
*/
void cs_fact_solve( double *b, cs_fact_t *fact )
{
#ifdef USE_UMFPACK
int ret;
double info[ UMFPACK_INFO ];
int fnan, finf;
#endif /* USE_UMFPACK */
int k;
switch (fact->type) {
case CS_FACT_CHOLESKY:
cs_ipvec( fact->S->pinv, b, fact->x, fact->n );
cs_lsolve( fact->N->L, fact->x );
cs_ltsolve( fact->N->L, fact->x );
cs_pvec( fact->S->pinv, fact->x, b, fact->n );
break;
case CS_FACT_LU:
cs_ipvec( fact->N->pinv, b, fact->x, fact->n );
cs_lsolve( fact->N->L, fact->x );
cs_usolve( fact->N->U, fact->x );
cs_ipvec( fact->S->q, fact->x, b, fact->n );
break;
case CS_FACT_QR:
cs_ipvec( fact->S->pinv, b, fact->x, fact->n );
for (k=0; k<fact->n; k++)
cs_happly( fact->N->L, k, fact->N->B[k], fact->x );
cs_usolve( fact->N->U, fact->x );
cs_ipvec( fact->S->q, fact->x, b, fact->n );
break;
case CS_FACT_UMFPACK:
#ifdef USE_UMFPACK
ret = umfpack_di_wsolve( UMFPACK_A, /* Solving Ax=b problem. */
fact->A->p, fact->A->i, fact->A->x,
fact->x, b, fact->numeric, NULL, info, fact->wi, fact->w );
if (ret == UMFPACK_WARNING_singular_matrix) {
fprintf( stderr, "UMFPACK: wsolver Matrix singular!\n" );
fnan = 0;
finf = 0;
for (k=0; k<fact->n; k++) {
if (isnan(fact->x[k])) {
fact->x[k] = 0.;
fnan = 1;
}
else if (isinf(fact->x[k])) {
fact->x[k] = 0.;
finf = 1;
}
}
if (fnan)
fprintf( stderr, "UMFPACK: NaN values detected!\n" );
if (finf)
fprintf( stderr, "UMFPACK: Infinity values detected!\n" );
}
memcpy( b, fact->x, fact->n*sizeof(double) );
#endif /* USE_UMFPACK */
default:
break;
}
}
void SparseCholeskySolver<TMatrix,TVector>::solveT(double * z, double * r) {
int n = A.n;
cs_ipvec (n, S->Pinv, r, (double*) &(tmp[0])); //x = P*b
cs_lsolve (N->L, (double*) &(tmp[0])); //x = L\x
cs_ltsolve (N->L, (double*) &(tmp[0])); //x = L'\x/
cs_pvec (n, S->Pinv, (double*) &(tmp[0]), z); //b = P'*x
}
SEXP dgCMatrix_matrix_solve(SEXP Ap, SEXP b, SEXP give_sparse)
// FIXME: add 'keep_dimnames' as argument
{
Rboolean sparse = asLogical(give_sparse);
if(sparse) {
// FIXME: implement this
error(_("dgCMatrix_matrix_solve(.., sparse=TRUE) not yet implemented"));
/* Idea: in the for(j = 0; j < nrhs ..) loop below, build the *sparse* result matrix
* ----- *column* wise -- which is perfect for dgCMatrix
* --> build (i,p,x) slots "increasingly" [well, allocate in batches ..]
*
* --> maybe first a protoype in R
*/
}
SEXP ans = PROTECT(dup_mMatrix_as_dgeMatrix(b)),
lu, qslot;
CSP L, U;
int *bdims = INTEGER(GET_SLOT(ans, Matrix_DimSym)), *p, *q;
int j, n = bdims[0], nrhs = bdims[1];
double *x, *ax = REAL(GET_SLOT(ans, Matrix_xSym));
C_or_Alloca_TO(x, n, double);
if (isNull(lu = get_factors(Ap, "LU"))) {
install_lu(Ap, /* order = */ 1, /* tol = */ 1.0, /* err_sing = */ TRUE,
/* keep_dimnames = */ TRUE);
lu = get_factors(Ap, "LU");
}
qslot = GET_SLOT(lu, install("q"));
L = AS_CSP__(GET_SLOT(lu, install("L")));
U = AS_CSP__(GET_SLOT(lu, install("U")));
R_CheckStack();
if (U->n != n)
error(_("Dimensions of system to be solved are inconsistent"));
if(nrhs >= 1 && n >= 1) {
p = INTEGER(GET_SLOT(lu, Matrix_pSym));
q = LENGTH(qslot) ? INTEGER(qslot) : (int *) NULL;
for (j = 0; j < nrhs; j++) {
cs_pvec(p, ax + j * n, x, n); /* x = b(p) */
cs_lsolve(L, x); /* x = L\x */
cs_usolve(U, x); /* x = U\x */
if (q) /* r(q) = x , hence
r = Q' U{^-1} L{^-1} P b = A^{-1} b */
cs_ipvec(q, x, ax + j * n, n);
else
Memcpy(ax + j * n, x, n);
}
}
if(n >= SMALL_4_Alloca) Free(x);
UNPROTECT(1);
return ans;
}
void CSparseCholeskyInternal::solve(double* x, int nrhs, bool transpose) {
casadi_assert(prepared_);
casadi_assert(L_!=0);
double *t = &temp_.front();
for (int k=0; k<nrhs; ++k) {
if (transpose) {
cs_pvec(S_->q, x, t, AT_.n) ; // t = P1\b
cs_ltsolve(L_->L, t) ; // t = L\t
cs_lsolve(L_->L, t) ; // t = U\t
cs_pvec(L_->pinv, t, x, AT_.n) ; // x = P2\t
} else {
cs_ipvec(L_->pinv, x, t, AT_.n) ; // t = P1\b
cs_lsolve(L_->L, t) ; // t = L\t
cs_ltsolve(L_->L, t) ; // t = U\t
cs_ipvec(S_->q, t, x, AT_.n) ; // x = P2\t
}
x += ncol();
}
}
void CSparseCholeskyInterface::solve(void* mem, double* x, int nrhs, bool tr) const {
auto m = static_cast<CsparseCholMemory*>(mem);
casadi_assert(m->L!=0);
double *t = &m->temp.front();
for (int k=0; k<nrhs; ++k) {
if (tr) {
cs_pvec(m->S->q, x, t, m->A.n) ; // t = P1\b
cs_ltsolve(m->L->L, t) ; // t = L\t
cs_lsolve(m->L->L, t) ; // t = U\t
cs_pvec(m->L->pinv, t, x, m->A.n) ; // x = P2\t
} else {
cs_ipvec(m->L->pinv, x, t, m->A.n) ; // t = P1\b
cs_lsolve(m->L->L, t) ; // t = L\t
cs_ltsolve(m->L->L, t) ; // t = U\t
cs_ipvec(m->S->q, t, x, m->A.n) ; // x = P2\t
}
x += m->ncol();
}
}
void CSparseInternal::solve(double* x, int nrhs, bool transpose){
casadi_assert(prepared_);
casadi_assert(N_!=0);
double *t = &temp_.front();
for(int k=0; k<nrhs; ++k){
if(transpose){
cs_ipvec (N_->pinv, x, t, AT_.n) ; // t = P1\b
cs_lsolve (N_->L, t) ; // t = L\t
cs_usolve (N_->U, t) ; // t = U\t
cs_ipvec (S_->q, t, x, AT_.n) ; // x = P2\t
} else {
cs_pvec (S_->q, x, t, AT_.n) ; // t = P2*b
casadi_assert(N_->U!=0);
cs_utsolve (N_->U, t) ; // t = U'\t
cs_ltsolve (N_->L, t) ; // t = L'\t
cs_pvec (N_->pinv, t, x, AT_.n) ; // x = P1*t
}
x += nrow();
}
}
void CsparseInterface::solve(double* x, int nrhs, bool transpose) {
double time_start=0;
if (CasadiOptions::profiling&& CasadiOptions::profilingBinary) {
time_start = getRealTime(); // Start timer
profileWriteEntry(CasadiOptions::profilingLog, this);
}
casadi_assert(prepared_);
casadi_assert(N_!=0);
double *t = &temp_.front();
for (int k=0; k<nrhs; ++k) {
if (transpose) {
cs_pvec(S_->q, x, t, A_.n) ; // t = P2*b
casadi_assert(N_->U!=0);
cs_utsolve(N_->U, t) ; // t = U'\t
cs_ltsolve(N_->L, t) ; // t = L'\t
cs_pvec(N_->pinv, t, x, A_.n) ; // x = P1*t
} else {
cs_ipvec(N_->pinv, x, t, A_.n) ; // t = P1\b
cs_lsolve(N_->L, t) ; // t = L\t
cs_usolve(N_->U, t) ; // t = U\t
cs_ipvec(S_->q, t, x, A_.n) ; // x = P2\t
}
x += ncol();
}
if (CasadiOptions::profiling && CasadiOptions::profilingBinary) {
double time_stop = getRealTime(); // Stop timer
profileWriteTime(CasadiOptions::profilingLog, this, 1,
time_stop-time_start,
time_stop-time_start);
profileWriteExit(CasadiOptions::profilingLog, this, time_stop-time_start);
}
}
void SparseCholeskySolver<TMatrix,TVector>::solveT(float * z, float * r) {
int n = A.n;
z_tmp.resize(n);
r_tmp.resize(n);
for (int i=0;i<n;i++) r_tmp[i] = (double) r[i];
cs_ipvec (n, S->Pinv, (double*) &(r_tmp[0]), (double*) &(tmp[0])); //x = P*b
cs_lsolve (N->L, (double*) &(tmp[0])); //x = L\x
cs_ltsolve (N->L, (double*) &(tmp[0])); //x = L'\x/
cs_pvec (n, S->Pinv, (double*) &(tmp[0]), (double*) &(z_tmp[0])); //b = P'*x
for (int i=0;i<n;i++) z[i] = (float) z_tmp[i];
}
/* x=A\b where A is symmetric positive definite; b overwritten with solution */
CS_INT cs_cholsol (CS_INT order, const cs *A, CS_ENTRY *b)
{
CS_ENTRY *x ;
css *S ;
csn *N ;
CS_INT n, ok ;
if (!CS_CSC (A) || !b) return (0) ; /* check inputs */
n = A->n ;
S = cs_schol (order, A) ; /* ordering and symbolic analysis */
N = cs_chol (A, S) ; /* numeric Cholesky factorization */
x = cs_malloc (n, sizeof (CS_ENTRY)) ; /* get workspace */
ok = (S && N && x) ;
if (ok)
{
cs_ipvec (S->pinv, b, x, n) ; /* x = P*b */
cs_lsolve (N->L, x) ; /* x = L\x */
cs_ltsolve (N->L, x) ; /* x = L'\x */
cs_pvec (S->pinv, x, b, n) ; /* b = P'*x */
}
cs_free (x) ;
cs_sfree (S) ;
cs_nfree (N) ;
return (ok) ;
}
void choleskyDecomp_sparse(cs* matrixA, double* matrixB, double* matrixX,int size)
{
int i;
css *S;
csn *N;
S=cs_schol(1, matrixA);
N=cs_chol(matrixA, S);
cs_spfree(matrixA);
if(found_dc_sweep==0){
cs_ipvec(S->pinv, matrixB, matrixX, size);
cs_lsolve(N->L, matrixX);
cs_ltsolve(N->L, matrixX);
cs_pvec(S->pinv, matrixX, matrixB, size);
printf("X vector \n");
for(i=0;i<size;i++){
printf(" %.6lf ",matrixX[i]);
}
printf("\n");
}
else{
double value;
double *matrixB_temp = (double *)calloc(size,sizeof(double));
if (source > -1) {
for(value=start_value;value<=end_value;value=value+step){
matrixB[source-1]=value;
cs_ipvec(S->pinv, matrixB, matrixX, size);
cs_lsolve(N->L, matrixX);
cs_ltsolve(N->L, matrixX);
cs_pvec(S->pinv, matrixX, matrixB_temp, size);
printf("value= %lf Matrix X: \n",value);
for(i=0;i<size;i++){
printf(" %.6lf ",matrixX[i]);
}
printf("\n");
}
}
else {
if (sweep_node1!=0){
matrixB[sweep_node1-1]+=sweep_value-start_value;
}
if(sweep_node2!=0){
matrixB[sweep_node2-1]-=sweep_value-start_value;
}
for(value=start_value;value<=end_value;value=value+step) {
cs_ipvec(S->pinv, matrixB, matrixX, size);
cs_lsolve(N->L, matrixX);
cs_ltsolve(N->L, matrixX);
cs_pvec(S->pinv, matrixX, matrixB_temp, size);
if (sweep_node1!=0){
matrixB[sweep_node1-1]-=step;
}
if(sweep_node2!=0){
matrixB[sweep_node2-1]+=step;
}
printf("value= %lf Matrix X: \n",value);
for(i=0;i<size;i++){
printf(" %.6lf ",matrixX[i]);
}
printf("\n");
}
}
}
printf("\n");
}
/* Cholesky update/downdate */
int demo3 (problem *Prob)
{
cs *A, *C, *W = NULL, *WW, *WT, *E = NULL, *W2 ;
int n, k, *Li, *Lp, *Wi, *Wp, p1, p2, *p = NULL, ok ;
double *b, *x, *resid, *y = NULL, *Lx, *Wx, s, t, t1 ;
css *S = NULL ;
csn *N = NULL ;
if (!Prob || !Prob->sym || Prob->A->n == 0) return (0) ;
A = Prob->A ; C = Prob->C ; b = Prob->b ; x = Prob->x ; resid = Prob->resid;
n = A->n ;
if (!Prob->sym || n == 0) return (1) ;
rhs (x, b, n) ; /* compute right-hand side */
printf ("\nchol then update/downdate ") ;
print_order (1) ;
y = cs_malloc (n, sizeof (double)) ;
t = tic () ;
S = cs_schol (1, C) ; /* symbolic Chol, amd(A+A') */
printf ("\nsymbolic chol time %8.2f\n", toc (t)) ;
t = tic () ;
N = cs_chol (C, S) ; /* numeric Cholesky */
printf ("numeric chol time %8.2f\n", toc (t)) ;
if (!S || !N || !y) return (done3 (0, S, N, y, W, E, p)) ;
t = tic () ;
cs_ipvec (S->pinv, b, y, n) ; /* y = P*b */
cs_lsolve (N->L, y) ; /* y = L\y */
cs_ltsolve (N->L, y) ; /* y = L'\y */
cs_pvec (S->pinv, y, x, n) ; /* x = P'*y */
printf ("solve chol time %8.2f\n", toc (t)) ;
printf ("original: ") ;
print_resid (1, C, x, b, resid) ; /* print residual */
k = n/2 ; /* construct W */
W = cs_spalloc (n, 1, n, 1, 0) ;
if (!W) return (done3 (0, S, N, y, W, E, p)) ;
Lp = N->L->p ; Li = N->L->i ; Lx = N->L->x ;
Wp = W->p ; Wi = W->i ; Wx = W->x ;
Wp [0] = 0 ;
p1 = Lp [k] ;
Wp [1] = Lp [k+1] - p1 ;
s = Lx [p1] ;
srand (1) ;
for ( ; p1 < Lp [k+1] ; p1++)
{
p2 = p1 - Lp [k] ;
Wi [p2] = Li [p1] ;
Wx [p2] = s * rand () / ((double) RAND_MAX) ;
}
t = tic () ;
ok = cs_updown (N->L, +1, W, S->parent) ; /* update: L*L'+W*W' */
t1 = toc (t) ;
printf ("update: time: %8.2f\n", t1) ;
if (!ok) return (done3 (0, S, N, y, W, E, p)) ;
t = tic () ;
cs_ipvec (S->pinv, b, y, n) ; /* y = P*b */
cs_lsolve (N->L, y) ; /* y = L\y */
cs_ltsolve (N->L, y) ; /* y = L'\y */
cs_pvec (S->pinv, y, x, n) ; /* x = P'*y */
t = toc (t) ;
p = cs_pinv (S->pinv, n) ;
W2 = cs_permute (W, p, NULL, 1) ; /* E = C + (P'W)*(P'W)' */
WT = cs_transpose (W2,1) ;
WW = cs_multiply (W2, WT) ;
cs_spfree (WT) ;
cs_spfree (W2) ;
E = cs_add (C, WW, 1, 1) ;
cs_spfree (WW) ;
if (!E || !p) return (done3 (0, S, N, y, W, E, p)) ;
printf ("update: time: %8.2f (incl solve) ", t1+t) ;
print_resid (1, E, x, b, resid) ; /* print residual */
cs_nfree (N) ; /* clear N */
t = tic () ;
N = cs_chol (E, S) ; /* numeric Cholesky */
if (!N) return (done3 (0, S, N, y, W, E, p)) ;
cs_ipvec (S->pinv, b, y, n) ; /* y = P*b */
cs_lsolve (N->L, y) ; /* y = L\y */
cs_ltsolve (N->L, y) ; /* y = L'\y */
cs_pvec (S->pinv, y, x, n) ; /* x = P'*y */
t = toc (t) ;
printf ("rechol: time: %8.2f (incl solve) ", t) ;
print_resid (1, E, x, b, resid) ; /* print residual */
t = tic () ;
ok = cs_updown (N->L, -1, W, S->parent) ; /* downdate: L*L'-W*W' */
t1 = toc (t) ;
if (!ok) return (done3 (0, S, N, y, W, E, p)) ;
printf ("downdate: time: %8.2f\n", t1) ;
t = tic () ;
cs_ipvec (S->pinv, b, y, n) ; /* y = P*b */
cs_lsolve (N->L, y) ; /* y = L\y */
cs_ltsolve (N->L, y) ; /* y = L'\y */
cs_pvec (S->pinv, y, x, n) ; /* x = P'*y */
t = toc (t) ;
printf ("downdate: time: %8.2f (incl solve) ", t1+t) ;
print_resid (1, C, x, b, resid) ; /* print residual */
return (done3 (1, S, N, y, W, E, p)) ;
}
void solve_spdSparse(double time){
int i;
double current_value;
double *B_sparse_temp;
//Adeiasma twn arxeiwn sta opoia tha apothikeutoun ta apotelesmata tis analysis gia tous komvous PLOT
if(TRAN==0)initPlotFiles("Sparse");
if(ITER==0){
//cholesky decomposition
S=cs_schol(1, C_sparse);
N=cs_chol(C_sparse, S);
//cs_spfree(C_sparse);
}
if(dc_sweep==0){ //An den exoume sweep
if(ITER==0){
cs_ipvec(S->pinv, B_sparse, x_sparse, sizeB);
cs_lsolve(N->L, x_sparse); //seg fault gia choleskyNetlist!LA8OS TO N!ARA ANADROMIKA LA8OS TO C_sparse.Omws C_sparce swsto vash ths CG.
cs_ltsolve(N->L, x_sparse);
cs_pvec(S->pinv, x_sparse, B_sparse, sizeB); //solve cholesky
for(i=0;i<sizeB;i++){
x_sparse[i]=B_sparse[i];
}
//printf("\n ----- SPARSE Cholesky decomposition ----- \n");
}
else{
conjugate_gradient_sparse(C_sparse,B_sparse, sizeB, x_sparse, itol_value); //solve with Conjugated Gradient
//printf("\n");
//printf("---- CG SPARSE ----\n");
}
/*
printf("X = \n");
for(i=0;i<sizeB;i++){
printf(" %.6lf \n",x_sparse[i]);
}
printf("----------------------\n");
printf("\n");
*/
if(TRAN==0){
plotFiles("Sparse", x_sparse, -1.0, "Analysis: DC");
}else{
plotFiles("Sparse", x_sparse, time, "Analysis: TRAN");
}
}else{ //An exoume sweep
B_sparse_temp = (double *)calloc(sizeB,sizeof(double)); //Proswrini apothikeusi tou apotelesmatos anamesa sta loop
if(sweep_source!=-1){ //pigi tasis ginetai sweep
for(current_value=start_value;current_value<=end_value+EPS;current_value+=sweep_step){
B_sparse[sweep_source-1]=current_value;
if(ITER==0){
cs_ipvec(S->pinv, B_sparse, x_sparse, sizeB);
cs_lsolve(N->L, x_sparse);
cs_ltsolve(N->L, x_sparse);
cs_pvec(S->pinv, x_sparse, B_sparse_temp, sizeB); //solve cholesky
}
else{
conjugate_gradient_sparse(C_sparse,B_sparse, sizeB, x_sparse, itol_value);
}
//Apothikeusi twn apotelesmatwn tis analysis gia tous komvous PLOT se arxeia
plotFiles("Sparse", (ITER ? x_sparse:B_sparse_temp), current_value, "Sweep source voltage at");
}
}else{ //pigi reumatos ginetai sweep
//Anairesi twn praksewn + kai - apo tin arxiki timi tis pigis ston pinaka B
//kai praksi + kai - me to start_value
if(sweep_posNode!=0){
B_sparse[sweep_posNode-1]+=sweep_value_I-start_value;
}
if(sweep_negNode!=0){
B_sparse[sweep_negNode-1]-=sweep_value_I-start_value;
}
for(current_value=start_value;current_value<=end_value+EPS;current_value+=sweep_step){
if(ITER==0){
cs_ipvec(S->pinv, B_sparse, x_sparse, sizeB);
cs_lsolve(N->L, x_sparse);
cs_ltsolve(N->L, x_sparse);
cs_pvec(S->pinv, x_sparse, B_sparse_temp, sizeB); //solve cholesky
}
else{
conjugate_gradient_sparse(C_sparse,B_sparse, sizeB, x_sparse, itol_value);
//Arxiki proseggish h lush ths prohgoumenhs
}
//Allagi twn timwn ston pinaka B gia to epomeno vima tou sweep
if(sweep_posNode!=0){
B_sparse[sweep_posNode-1]-=sweep_step;
}
if(sweep_negNode!=0){
B_sparse[sweep_negNode-1]+=sweep_step;
}
//Apothikeusi twn apotelesmatwn tis analysis gia tous komvous PLOT se arxeia
plotFiles("Sparse", (ITER ? x_sparse:B_sparse_temp), current_value, "Sweep source current at");
}
printf("\n");
}
}
}